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1.
Genome Res ; 20(7): 908-16, 2010 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-20413674

RESUMO

Killer whales (Orcinus orca) currently comprise a single, cosmopolitan species with a diverse diet. However, studies over the last 30 yr have revealed populations of sympatric "ecotypes" with discrete prey preferences, morphology, and behaviors. Although these ecotypes avoid social interactions and are not known to interbreed, genetic studies to date have found extremely low levels of diversity in the mitochondrial control region, and few clear phylogeographic patterns worldwide. This low level of diversity is likely due to low mitochondrial mutation rates that are common to cetaceans. Using killer whales as a case study, we have developed a method to readily sequence, assemble, and analyze complete mitochondrial genomes from large numbers of samples to more accurately assess phylogeography and estimate divergence times. This represents an important tool for wildlife management, not only for killer whales but for many marine taxa. We used high-throughput sequencing to survey whole mitochondrial genome variation of 139 samples from the North Pacific, North Atlantic, and southern oceans. Phylogenetic analysis indicated that each of the known ecotypes represents a strongly supported clade with divergence times ranging from approximately 150,000 to 700,000 yr ago. We recommend that three named ecotypes be elevated to full species, and that the remaining types be recognized as subspecies pending additional data. Establishing appropriate taxonomic designations will greatly aid in understanding the ecological impacts and conservation needs of these important marine predators. We predict that phylogeographic mitogenomics will become an important tool for improved statistical phylogeography and more precise estimates of divergence times.


Assuntos
Genoma Mitocondrial/genética , Orca/classificação , Orca/genética , Animais , Sequência de Bases , Especiação Genética , Variação Genética/fisiologia , Geografia , Dados de Sequência Molecular , Oceanos e Mares , Filogenia , Análise de Sequência de DNA , Homologia de Sequência do Ácido Nucleico , Especificidade da Espécie
2.
Mol Ecol ; 20(3): 629-41, 2011 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-21241391

RESUMO

Population genetic structure of North Atlantic killer whale samples was resolved from differences in allele frequencies of 17 microsatellite loci, mtDNA control region haplotype frequencies and for a subset of samples, using complete mitogenome sequences. Three significantly differentiated populations were identified. Differentiation based on microsatellite allele frequencies was greater between the two allopatric populations than between the two pairs of partially sympatric populations. Spatial clustering of individuals within each of these populations overlaps with the distribution of particular prey resources: herring, mackerel and tuna, which each population has been seen predating. Phylogenetic analyses using complete mitogenomes suggested two populations could have resulted from single founding events and subsequent matrilineal expansion. The third population, which was sampled at lower latitudes and lower density, consisted of maternal lineages from three highly divergent clades. Pairwise population differentiation was greater for estimates based on mtDNA control region haplotype frequencies than for estimates based on microsatellite allele frequencies, and there were no mitogenome haplotypes shared among populations. This suggests low or no female migration and that gene flow was primarily male mediated when populations spatially and temporally overlap. These results demonstrate that genetic differentiation can arise through resource specialization in the absence of physical barriers to gene flow.


Assuntos
DNA Mitocondrial/genética , Frequência do Gene/genética , Especiação Genética , Variação Genética , Orca/genética , Animais , Análise por Conglomerados , Demografia , Feminino , Peixes/genética , Genótipo , Haplótipos , Masculino , Repetições de Microssatélites/genética , Filogenia , Análise de Sequência de DNA , Fatores de Tempo
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